Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there. Did your doctor somehow miss the recovery protocol that Pedro Bach-y-Rita used to recover fully back in 1958 with only a partial brain?

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Showing posts with label senior researchers. Show all posts
Showing posts with label senior researchers. Show all posts

Sunday, October 25, 2026

Rigid ankle exoskeletons for rehabilitation: a scoping review of sensor integration, control, and clinical outcomes

 FUCKING USELESS! NO protocol was written! The mentors and senior researchers need to be fired! If you don't know what stroke research is for; GET THE HELL OUT!

Rigid ankle exoskeletons for rehabilitation: a scoping review of sensor integration, control, and clinical outcomes

    We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply.

    Abstract

    Background

    Rigid ankle exoskeletons are increasingly investigated for gait rehabilitation and assistance because they can deliver repeatable ankle support, resistance, or movement guidance through load-bearing mechanical structures. Their translational value, however, depends on the integration of mechanical architecture, sensing, control, ergonomic alignment, safety, and clinically meaningful evaluation. This scoping review maps recent rehabilitation-oriented rigid ankle exoskeleton research and examines how engineering design choices are connected to biomechanical and clinical outcomes.

    Methods

    A PRISMA-ScR-guided scoping review was conducted across PubMed, Web of Science, Scopus, ScienceDirect, and IEEE Xplore for English-language studies published between 2015 and 2025. The review included rigid ankle exoskeleton studies relevant to rehabilitation or gait assistance, including simulation and design studies, benchtop or mechanical validation, healthy-subject experiments, feasibility studies, and patient-based investigations. From 4318 initial records, 53 studies met the final inclusion criteria. Extracted data were charted according to mechanical architecture, actuator type, sensor modality, control strategy, ergonomic features, evidence level, and reported biomechanical or clinical outcomes.

    Results

    Across the 53 included studies, the most common online sensors were force-, torque-, load-, or strain-based sensors (22/53), followed by foot-contact, plantar-pressure, or force-sensitive resistor (FSR) sensors (21/53), and encoder or joint-angle sensors (19/53), reflecting a predominant reliance on mechanical interaction sensing and gait-event detection. Control approaches ranged from mechanically passive and model-based methods to event-driven, intention-driven, and adaptive strategies, with clinically oriented studies more commonly employing relatively simple timing- or event-based architectures. Ergonomically, most devices adopted simplified sagittal-plane designs: 43/53 described or modeled a 1-DOF ankle architecture; 46/53 were coded as anatomically aligned and 7/53 as self-aligning. Twenty-two of the 53 included studies involved patient populations, including mixed cohorts comprising both patients and unimpaired participants. These studies reported preliminary improvements in outcomes including walking ability, ankle range of motion, balance, gait speed, and metabolic cost. However, the clinical evidence was dominated by pilot, feasibility, and case-based studies, with only one randomized controlled trial identified.

    Conclusions

    Rigid ankle exoskeleton research now requires stronger integration between sensing, control, ergonomics, and clinical evaluation. Future systems should not only detect gait events accurately, but also maintain reliable state estimation under variable walking conditions, reduce calibration demands, and apply adaptive control within clear safety limits. Design evaluation should also move beyond actuation performance by systematically reporting alignment, comfort, usability, and interaction safety. Although current studies support technical feasibility, stronger clinical translation will require larger, longer-term patient studies with standardized biomechanical, functional, and safety outcomes.

    Trial registration: A formal review protocol was not preregistered. The mapping framework and extraction rules were established internally by the research team prior to data collection.

    Thursday, October 22, 2026

    Automated quantification of movement qualities in the human upper extremity after stroke using a wearable robot

     Nothing here gets survivors recovered! You need EXACT PROTOCOLS for that! Complete failure of the mentors and senior researchers supervising!

    'Assessments' have never gotten anyone recovered!

    Automated quantification of movement qualities in the human upper extremity after stroke using a wearable robot

      We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply.

      Abstract

      Background

      Stroke is a leading cause of long-term adult disability, with approximately 80% of survivors experiencing upper extremity (UE) motor impairments. Clinical assessment tools like the Fugl-Meyer Assessment (FMA) are widely used but limited by ordinal scales and subjective observation. While rehabilitation robots offer high-resolution data, their clinical translation is hindered by a lack of standardized protocols and limited interpretability for clinical decision-making.

      Objective

      This study aimed to develop an objective, standardized, and clinically interpretable assessment tool to quantify UE motor qualities by integrating exoskeleton technology with traditional clinical assessment tasks.

      Methods

      Ten healthy individuals and ten stroke survivors performed seven standardized tasks (six from the FMA-UE and one additional elbow task) while wearing the HARMONY exoskeleton. We developed a “trajectory pattern discrepancy score” based on the root mean square error between individual joint trajectories and normative averages. Additionally, kinematic synergy analysis was performed using non-negative matrix factorization to evaluate alterations in multi-joint coordination.

      Results

      The trajectory pattern discrepancy score showed a strong negative correlation with clinical FMA-UE scores (r = -0.93, p < 0.01) and demonstrated excellent test-retest reliability (ICC = 0.98). The number of identified kinematic synergies decreased significantly as motor impairment severity increased (r = 0.79, p < 0.01). Furthermore, kinematic synergy analysis provided a mechanistic explanation for reduced individual joint control. Post-stroke synergies could be explained through the merging (linear combinations of healthy kinematic patterns), preservation, or loss of healthy kinematic synergies, reflected as pathological joint coupling and loss of specific individual joint control.

      Conclusions

      This study presents a novel, standardized assessment framework that integrates exoskeleton technology with conventional clinical tasks. By bridging the gap between objective robotic data and clinical interpretability, this approach would enable robust motor impairment assessment and intuitive phenotyping of motor characteristics to guide personalized rehabilitation strategies.

      Sunday, October 11, 2026

      Self-compassion and post-stroke depression symptoms in acute stroke survivors

       You prevent depression by having EXACT 100% RECOVERY PROTOCOLS!  Why aren't you doing the correct research? Your mentors and senior researchers are absolutely stupid?

      Self-compassion and post-stroke depression symptoms in acute stroke survivors


      , , , , , , ,

      Highlights

      • •
        The 12-item SCS-D-KF is feasible and psychometrically sound in acute stroke survivors.
      • •
        Self-compassion was associated with post-stroke depression beyond established risk factors.
      • •
        Self-compassion is a potential target for early interventions in stroke survivors.

      Abstract

      Background

      Post-stroke depression affects approximately one-third of stroke survivors. Self-compassion has emerged as a protective factor against depression in chronically ill populations, yet has received limited investigation in stroke survivors.

      Objectives

      This study examined the factorial structure and reliability of the German Self-Compassion Scale Short Form (SCS-D-KF) in stroke survivors and investigated whether self-compassion is associated with depressive symptoms beyond established risk factors.

      Methods

      This cross-sectional study examined 407 patients (60.4% male) with acute stroke. Participants completed the SCS-D-KF and PHQ-9 within the first week post-stroke. Factor structure was tested using exploratory and confirmatory factor analysis. Associations with depressive symptoms were examined using hierarchical latent structural equation modeling (SEM) with full information maximum likelihood estimation.

      Results

      Factor analysis revealed a two-factor structure: Compassionate Self-Responding (CS; ωcat = 0.63) and Uncompassionate Self-Responding (UCS; ωcat = 0.82). In separate hierarchical latent SEM models controlling for sociodemographic and clinical risk factors (R2 = 0.312), UCS demonstrated the strongest incremental validity (ΔR2 = 0.057, β = −0.316, p < .001), followed by total self-compassion score (ΔR2 = 0.036, β = −0.290, p < .001) and CS (ΔR2 = 0.013, β = −0.201, p = .048).

      Conclusion

      Both uncompassionate and compassionate self-responding demonstrated incremental validity beyond established risk factors, with uncompassionate self-responding showing particular salience in the acute phase. Results warrant consideration of self-compassion in post-stroke depression assessment and may serve as a potential intervention target pending longitudinal validation.

      Monday, October 5, 2026

      Upper extremity motor outcomes during paired vagus nerve stimulation in chronic ischemic stroke: a retrospective single-health-system cohort study

       Why this research? Your mentors and senior researchers are so incompetent in not knowing of earlier research?

      vagus nerve (60 posts to July 2012)

      Upper extremity motor outcomes during paired vagus nerve stimulation in chronic ischemic stroke: a retrospective single-health-system cohort study


      • 1. Atlantic Brain and Spine, Morristown, NJ, United States

      • 2. Atlantic Health, New Providence, NJ, United States

      Abstract


      Background: 


      Persistent upper extremity (UE) impairment after stroke is a major cause of long-term disability, and treatment options in the chronic phase are limited. In randomized trials, vagus nerve stimulation paired with task-specific rehabilitation (Paired VNS) produced greater improvement in UE function and activity than the same rehabilitation with sham stimulation, leading to FDA approval in 2021.


      Methods: 


      We conducted a retrospective, observational cohort study of adults with chronic stroke and persistent UE deficits who underwent Vivistim implantation(Why the implant rather than non-invasive ones? Don't know of them? PURE INCOMPETENCE!) and participated in a Paired VNS program delivered across 5 outpatient clinics within our health system. The primary outcome was change in Fugl-Meyer Assessment–Upper Extremity (FMA-UE) from baseline (Paired VNS therapy initiation) to end of the intended Paired VNS therapy protocol (18 sessions). A ≥6-point improvement defined a clinically meaningful response. Adverse events were a secondary safety outcome, ascertained from routine clinical documentation and not systematically collected beyond early postoperative follow-up.


      Results: 


      32 patients underwent device implantation; 28 (88%) completed the intended protocol within the health system and had paired FMA-UE assessments available for the primary analysis. Ages ranged from 34 to 81 years (mean 62.1) and the median time since stroke was 3.0 years (IQR 1.7–4.2). FMA-UE scores improved for all 28 local completers. The mean increase of 9.43 points was statistically significant (95% CI 7.20–11.66; p < 0.001), the median increase was 8.0 points (IQR 5.0–13.25) and 20 patients (71.4%; 95% CI 52.9–84.7%) achieved a clinically meaningful response. Chart-derived clinical notes provided illustrative context regarding individual changes in daily activities that accompanied UE motor improvement in selected cases. Among the 32 implanted patients, one postoperative hematoma resolved without intervention and one device was explanted after 410 days due to chest tingling.


      Conclusions: 


      In this retrospective single-health-system cohort, Paired VNS was associated with significant improvement in FMA-UE scores among 28 local completers. The findings are directionally consistent with prior trial evidence.


      Comparative evaluation of diffusion models for detecting gray matter microstructural alterations in post-stroke depression patients

       Useless! What you should be doing is creating EXACT 100% recovery protocols, thus preventing depression the correct way! No need to treat this secondary problem if you were to solve the primary problem of 100% recovery! Don't understand that? Get the hell out of stroke! A hell of a lot of mentors and senior researchers need to be removed!

      Comparative evaluation of diffusion models for detecting gray matter microstructural alterations in post-stroke depression patients


      • F

        Fang Zhang

      • J

        Jing Zhang

      • L

        Lei Zhang

      • H

        Hengjun Jin

      • D

        Daqing Li

      • Wei Zhao

        Wei Zhao *

      • Department of Radiology, Huaibei People's Hospital, Huaibei, Anhui, China

      Abstract


      Background: 


      Post-stroke depression (PSD) is often underdiagnosed because its gray matter microstructural abnormalities can be subtle.(This is incredibly easy! One question! Are you fully recovered? Y/N? No would likely mean is depressed! You are totally overthinking this.) This study compared four diffusion models (DTI, DKI, MAP, and NODDI) to identify objective imaging biomarkers for the early detection of PSD.


      Methods: 

      Sixty-four participants were enrolled, including 23 age- and sex-matched healthy controls (HC), 26 patients with acute cerebral infarction without PSD (non-PSD; HAMD-21 < 7), and 15 patients with PSD (HAMD-21 ≥ 7). Clinical assessments (HAMD-21, ADL, MoCA, and MMSE) and diffusion spectrum imaging were performed. Intergroup differences in gray matter microstructure, diagnostic performance based on the area under the curve (AUC), and partial correlations adjusted for age, sex, and years of education were analyzed. Infarct location was not included as a covariate.


      Results: 


      Significant differences among the three groups were observed in age, years of education, and all clinical scale scores (p < 0.05). Altered gray matter microstructure was primarily identified in the middle frontal gyrus, posterior cingulate gyrus, paracingulate gyrus and amygdala. For group discrimination, the left anterior cingulate DKI MD_p10 demonstrated the best performance for distinguishing HC from non-PSD (AUC = 0.916). The left putamen NODDI ODI_p10 showed the highest AUC (0.916) for distinguishing HC from PSD, whereas the left putamen NODDI ODI_p50 yielded the highest AUC (0.856) for distinguishing non-PSD from PSD. After FDR correction, multiple diffusion metrics were significantly correlated with MMSE and MoCA scores, whereas no imaging parameter showed a significant correlation with HAMD-21.


      Conclusion: 


      Multimodal diffusion MRI detects microstructural abnormalities within emotion- and cognition-related circuits, particularly the amygdala and cingulate cortex, across the three groups. Temporolimbic NODDI parameters showed relatively higher AUC values in distinguishing PSD from HC, whereas anterior cingulate DKI metrics showed relatively higher AUC values in differentiating non-PSD stroke patients from HC. Combining multiple diffusion models may aid in the identification of PSD; however, these findings require further validation because infarct location was not adjusted for in the analyses.